def test(self):
dtype = jt.NanoString
t = time.time()
n = 1000000
for i in range(n):
dtype("float")
t = (time.time() - t)/n
# t is about 0.01 for 100w loop
# 92ns one loop
print("nanostring time", t)
assert t < [1.5e-7, 1.7e-7][mid], t
assert (jt.hash("asdasd") == 4152566416)
assert str(jt.NanoString("float"))=="float32"
assert jt.NanoString("float")=="float32"
def test_type(self):
import numpy as np
assert str(jt.NanoString(float)) == "float"
assert str(jt.NanoString(np.float)) == "float"
assert str(jt.NanoString(np.float32)) == "float32"
assert str(jt.NanoString(np.float64)) == "float64"
assert str(jt.NanoString(np.int8)) == "int8"
assert str(jt.NanoString(np.array([1, 2, 3]).dtype)) == "int64"
def get_error_str(call):
es = ""
try:
call()
except Exception as e:
es = str(e)
return es
e = get_error_str(lambda: jt.code([
1,
], {}, [1], cpu_header=""))
assert "help(jt.ops.code)" in e
assert "cpu_header=str" in e
e = get_error_str(lambda: jt.NanoString([1, 2, 3], f**k=1))
assert "f**k=int" in str(e)
assert "(list, )" in str(e)
def test_array_dtype(self):
a = jt.array([1, 2, 3], dtype=jt.NanoString("float32"))
a = jt.array([1, 2, 3], dtype=jt.float32)